feat(ASI): add behavioral trust evidence type specification#819
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0xbrainkid wants to merge 3 commits intoOWASP:mainfrom
Open
feat(ASI): add behavioral trust evidence type specification#8190xbrainkid wants to merge 3 commits intoOWASP:mainfrom
0xbrainkid wants to merge 3 commits intoOWASP:mainfrom
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Adds a formal evidence type definition for behavioral trust scoring as a control class input to ASI01-ASI03 runtime enforcement. Includes: - Evidence structure (trust_score, drift_status, verification) - Trust scoring formula: success_rate × confidence(volume), per-task-class - Enforceability classification: strong / bounded / detectable-only - Integration points: OWASP admissibility predicates, mutation boundary (MITRE), TrustProvider interface (W3C/LangGraph) - Security considerations: Sybil resistance, temporal decay, cold-start Referenced from discussion OWASP#802 (Runtime Enforcement Mapping).
added 2 commits
April 7, 2026 18:54
…table fingerprint Per @desiorac's review in issue OWASP#802: baseline_version (opaque string) was insufficient because it doesn't provide the monotonic reference property needed for replay-verifiable proofs. Replaced with: - baseline_snapshot_hash: SHA-256 of canonicalized baseline (JCS) - baseline_snapshot_ts: when baseline was computed - Added MUST requirement: verifiers reject enforcement-mode evidence without this field
Per @desiorac review: high-volume read-only calls inflate confidence for the whole agent, allowing write/payment operations to reach 'strong' enforceability on borrowed trust. Fix: gates MUST evaluate task_class-scoped evidence. cross_class_score is optional for display but MUST NOT be used for enforcement decisions. Enforceability tier is now task-class-specific.
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Summary
Adds a formal behavioral trust evidence type specification to the ASI agentic top 10 documentation. This addresses the gap identified in issue #802 around formalizing behavioral trust as a control class for runtime enforcement.
Per @desiorac's invitation in issue #802.
What it adds
A standardized evidence type for expressing agent behavioral trustworthiness as an input to admissibility predicates at mutation boundaries.
success_rate × confidence(volume), scoped per task class — deterministic, auditable, no ML requiredConnections to existing work